Every aspect of life is becoming smarter even traffic lights. The American traffic lights which have remained virtually unchanged for a century now are now influenced by machine learning. This results in a more efficient safer, safer, and green transportation system. Traffic signal preemption for instance, can assist drivers in avoiding potentially life-threatening collision. And a system that integrates traffic lights and e-bike/scooter sensor can automatically time stops so that they align with commuters’ travel plans.
IoT sensors and connectivity technologies help smarter traffic control systems that maximize energy efficiency by optimizing signal timings in accordance with the current conditions. The data from cameras and sensors can be processed in the device itself or sent to an appropriate hub for traffic management, where it will be integrated into AI algorithms. The result is more precise modeling and predictive analysis that could help avoid congestion, align schedules for public transportation and reduce carbon emission.
These smart technologies can transform urban transport systems. Smart sensors for e-bikes and scooters for instance, can detect and share the location of personal vehicles shared by others to make ride-sharing more comfortable. Micromobility payment systems, on the other hand permit parking on the street technologytraffic.com or road tolls with no need for a change in the right amount.
IoT smart traffic technology can also improve public transit efficiency making it easier for commuters to track buses and trams in real time using live tracking apps. Intelligent intersection technology is able to prioritize emergency vehicles, allowing them to get to their destination quicker This innovation has already dramatically decreased crash rates in certain cities.